The Case For Change Notifications in Pull-Based Databases
dc.contributor.author | Wingerath, Wolfram | |
dc.contributor.author | Gessert, Felix | |
dc.contributor.author | Friedrich, Steffen | |
dc.contributor.author | Witt, Erik | |
dc.contributor.author | Ritter, Norbert | |
dc.contributor.editor | Mitschang, Bernhard | |
dc.contributor.editor | Nicklas, Daniela | |
dc.contributor.editor | Leymann, Frank | |
dc.contributor.editor | Schöning, Harald | |
dc.contributor.editor | Herschel, Melanie | |
dc.contributor.editor | Teubner, Jens | |
dc.contributor.editor | Härder, Theo | |
dc.contributor.editor | Kopp, Oliver | |
dc.contributor.editor | Wieland, Matthias | |
dc.date.accessioned | 2017-06-21T11:24:39Z | |
dc.date.available | 2017-06-21T11:24:39Z | |
dc.date.issued | 2017 | |
dc.description.abstract | Modern web applications often require application servers to deliver updates proactively to the client. These push-based architectures, however, are notoriously hard to implement on top of existing infrastructure, because today’s databases typically only support pull-based access to data. In this paper, we first illustrate the usefulness of query change notifications and the complexity of providing them. We then describe use cases and discuss state-of-the-art systems that do provide them, before we finally propose a system architecture that offers query change notifications as an opt-in feature for existing pull-based databases. As our proposed architecture distributes computational work across a cluster of machines, we also compare scalable stream processing frameworks that could be used to implement the proposed system design. | en |
dc.identifier.isbn | 978-3-88579-660-2 | |
dc.identifier.pissn | 1617-5468 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | Datenbanksysteme für Business, Technologie und Web (BTW 2017) - Workshopband | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-266 | |
dc.subject | continuous queries | |
dc.subject | materialized view maintenance | |
dc.subject | real-time stream processing | |
dc.subject | Big Data | |
dc.title | The Case For Change Notifications in Pull-Based Databases | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 280 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 269 | |
gi.conference.date | 6.-10. März 2017 | |
gi.conference.location | Stuttgart | |
gi.conference.sessiontitle | Scalable Cloud Data Management Workshop (SCDM 2017) |
Dateien
Originalbündel
1 - 1 von 1